Peoples's limited attentional resources are challenged by the high prevalence of potential distractors in daily life. How well people can cope with the arising demands is moderated by individual attention control abilities that have proven to mitigate potentially harmful effects (Wirzberger & Rey, 2018).

Today's rapid advances in artificial intelligence present an unprecedented opportunity to augment the human mind with the help of technology. Our goal is to leverage insights from cognitive science to develop technologies that help humanity overcome its cognitive limitations and enable people to make better decisions, learn fast...

How does the human brain learn how to think and how to decide? What are the learning mechanisms that give rise to human intelligence and enable us to get better at what we do? How can this learning be promoted and accelerated? To answer these questions, we reverse-engineer how people learn when to use which cognitive strategy (Liede...

Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems